Argitalpenak (39) Alejandro Mateo Hernández Díaz argitalpenak

2024

  1. A Class of Efficient Sixth-Order Iterative Methods for Solving the Nonlinear Shear Model of a Reinforced Concrete Beam

    Mathematics, Vol. 12, Núm. 3

  2. Machine Learning as Applied to Shape Parameterization of Submerged Arch Structures

    Lecture Notes in Computer Science. . International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2024 (10th. 2024. Portugal)

  3. Machine learning as alternative strategy for the numerical prediction of the shear response in reinforced and prestressed concrete beams

    Results in Engineering, Vol. 22

2023

  1. Improving numerical methods for the steel yield strain calculation in reinforced concrete members with Machine Learning algorithms

    Expert Systems with Applications, Vol. 225

  2. Parametric Iterative Method for Addressing an Embedded-Steel Constitutive Model with Multiple Roots

    Mathematics, Vol. 11, Núm. 15

  3. Review of optimal design procedures for submerged arches

    CMMoST 2023: 7th International Conference on Mechanical Models in Structural Engineering (7º.2023. Málaga)

  4. The Economic Impact Associated with the Direct Connection Strength of Micropiles in Foundation Retrofit Projects

    Buildings, Vol. 13, Núm. 4

2022

  1. A higher-order variant of newton’s method for solving the steel constitutive model in tension as stiffened by the concrete

    Congress on Numerical Methods in Engineering CMN 2022 (2022. Las Palmas de Gran Canaria)

  2. Analysis of elliptic curves in themulti-objective optimal design of submerged arches using shape parameterization

    Congress on Numerical Methods in Engineering CMN 2022 (2022. Las Palmas de Gran Canaria)

  3. Economic analysis about the influence of the direct connection micropile-foundation on the underpinning project costs

    CMMost 2021: 6th International Conference on Mechanical Models in Structural Engineering

  4. Higher order numerical methods for addressing an embedded steel constitutive model

    Modelling for Engineering & Human Behaviour 2022 (24ª.Valencia.2022)

  5. Hybridizing machine learning with metaheuristics for preventing convergence failures in mechanical models based on compression field theories

    Applied Soft Computing, Vol. 130

  6. Reduced-scale models as strategy for improving the undergraduate learning process in the field of structural engineering

    INTED2022 Proceedings: International Technology, Education and Development Conference (16th.2022)

2021

  1. Memetic coral reefs optimization algorithms for optimal geometrical design of submerged arches

    Swarm and Evolutionary Computation, Vol. 67

  2. Optimum Shape Design of Geometrically Nonlinear Submerged Arches Using the Coral Reefs Optimization with Substrate Layers Algorithm

    Applied Sciences, Vol. 11, Núm. 13, pp. 5862

2020

  1. Submerged Arches Optimal Design with a Multi-Method Ensemble Meta-Heuristic Approach

    IEEE Access, Vol. 8, pp. 215057-215072

2019

  1. Assessment of the seismic behaviour of the original and modified structure of the Veronicas market at Murcia (Spain)

    Informes de la construcción, Vol. 71, Núm. 554

  2. Buckling design of submerged arches via shape parameterization

    Computational and Mathematical Methods, Vol. 1, Núm. 5

  3. Effect of vinyl flooring on the modal properties of a steel footbridge

    Applied Sciences (Switzerland), Vol. 9, Núm. 7

2018

  1. Fatigue assessment of a slender footbridge based on an updated finite element model

    Key Engineering Materials